EP 3722996 A2 20201014 - SYSTEMS AND METHODS FOR PROCESSING 3D ANATOMICAL VOLUMES BASED ON LOCALIZATION OF 2D SLICES THEREOF
Title (en)
SYSTEMS AND METHODS FOR PROCESSING 3D ANATOMICAL VOLUMES BASED ON LOCALIZATION OF 2D SLICES THEREOF
Title (de)
SYSTEME UND VERFAHREN ZUR VERARBEITUNG ANATOMISCHER 3D-VOLUMINA BASIEREND AUF DER LOKALISIERUNG VON 2D-SCHEIBEN DAVON
Title (fr)
SYSTÈMES ET PROCÉDÉS DE TRAITEMENT DE VOLUMES ANATOMIQUES 3D SUR LA BASE DE LA LOCALISATION DE LEURS TRANCHES 2D
Publication
Application
Priority
US 201916382235 A 20190412
Abstract (en)
There is provided a computer implemented method for localizing target anatomical regions of interest (ROI) of a target individual, comprising: uniformly subsampling (306) a plurality of 2D images having sequential index numbers within a 3D anatomical volume, feeding (308) the plurality of sampled 2D images into a classifier for outputting a plurality of values on a normalized anatomical scale, fitting (310) a linear model to the plurality of values and corresponding sequential index numbers, mapping (316) by the linear model, the plurality of 2D images to the normalized anatomical scale, receiving (318) an indication of at least one target anatomical ROI of a target individual, wherein each target anatomical ROI is mapped to the normalized anatomical scale, and providing (320) a sub-set of the plurality of 2D images having values of the normalized anatomical scale corresponding to the received at least one target anatomical ROI.
IPC 8 full level
G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06V 10/25 (2022.01)
CPC (source: EP US)
G06T 7/0012 (2013.01 - US); G06V 10/25 (2022.01 - EP US); G06V 10/454 (2022.01 - EP US); G06V 10/82 (2022.01 - EP US); G16H 30/20 (2017.12 - US); G16H 30/40 (2017.12 - US); G06T 2207/10081 (2013.01 - US); G06V 2201/03 (2022.01 - EP)
Citation (applicant)
- DANIEL KEYSERSHENNING SCHUBERTBERTHOLD B. WEINJOERG BREDNOTHOMAS MARTINLEHMANN MARKOLIVER GUELDMICHAEL KOHNEN: "Quality of dicom header information for image categorization", PROC.SPIE, vol. 4685, 2002, pages 4685 - 4685,8
- FRANZ GRAFHANS-PETER KRIEGELSEBASTIAN POLSTERLMATTHIAS SCHUBERT,ALEXANDER CAVALLARO: "Proceedings of the 28th International Conference on Machine Learning (ICML", 2011, WORKSHOP ON LEARNING FOR GLOBAL CHALLENGES, article "Position prediction in ct volume scans"
- FRANZ GRAFHANS-PETER KRIEGELMATTHIAS SCHUBERTSEBASTIAN PLSTERLALEXANDER CAVALLARO, 2D IMAGE REGISTRATION IN CT IMAGES USING RADIAL IMAGE DESCRIPTORS, vol. 14, September 2011 (2011-09-01), pages 607 - 14
- JIAJIA GUOHONGWEI DUBENSHENG QIUXIAO LIANG: "A deep learning-based method for relative location prediction in CT scan images", CORR, 2017
- TOBIAS EMRICHFRANZ GRAFHANS-PETER KRIEGELMATTHIAS SCHUBERTMARISA THOMAALEXANDER CAVALLARO: "Ct slice localization via instance-based regression", IN MEDICAL IMAGING: IMAGE PROCESSING, 2010
- JOHANNES FEULNERS. KEVIN ZHOUSASCHA SEIFERTALEXANDER CAVALLAROJOACHIM HORNEGGERDORIN COMANICIU: "Estimating the body portion of ct volumes by matching histograms of visual words", PROCEEDINGS OF SPIE - THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING, February 2009 (2009-02-01)
- MARTIN A. FISCHLERROBERT C. BOLLES: "Commun", vol. 24, June 1981, ACM, article "Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography", pages: 381 - 395
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
EP 3722996 A2 20201014; EP 3722996 A3 20201021; JP 2020171687 A 20201022; US 10878564 B2 20201229; US 2020327661 A1 20201015
DOCDB simple family (application)
EP 20167010 A 20200331; JP 2020062003 A 20200331; US 201916382235 A 20190412